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v0.1.3 — Configurable autocompactor + polish

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@lyc-aon lyc-aon released this 08 Apr 13:21
v0.1.3
38b4ef3

The chat now ships an end-to-end autocompact gate at the top of SuccessorChat._begin_agent_turn. The gate reads the active profile's new CompactionConfig, builds a ContextBudget against the resolved context window, and (when crossing the threshold) defers the agent turn behind a background compaction worker that resumes the turn against the freshly compacted log.

Highlights

  • Configurable autocompactor. Percentage-based thresholds you can tune per profile, with hard token floors so tiny windows still get usable headroom. Setup wizard exposes four presets (default / aggressive / lazy / off); the config menu has a full per-field editor.
  • Post-compact size assertion. If the new log is at least 90% of the original, compact() stamps a warning on the boundary marker and the chat shows an underperformed annotation.
  • 974 tests passing. 93 new tests covering the dataclass, percentage scaling at 8K → 2M windows, the chat-layer gate, the post-compact assertion, edge cases, and visual snapshot tests for the wizard step + config menu section.
  • Default profile now ships with bash enabled. New users see the agentic loop on their first turn.
  • successor-dev profile uses the aggressive preset so harness-development sessions stay responsive at the edge of the context window.

Visuals

The release assets include 7 GIFs cropped from the walkthrough recordings, showing the renderer + the chat in action against a real model:

  • intro_braille.gif — the custom braille intro animation
  • wizard_theme.gif — wizard theme cycling between steel and forge red
  • braille_red.gif / braille_blue.gif — the SUCCESSOR braille emergence in two themes
  • tool_dispatch.gif — multi-tool heredoc with find-files and git-log running back to back
  • search_demo.gif — conversation search with highlighted matches
  • chat_streaming.gif — model streaming with thinking indicator and a read-file tool dispatch

Docs

  • New docs/compaction.md covers the schema, threshold math, gate flow, and the failure modes the post-compact assertion catches
  • README has an Inspirations section crediting Cheng Lou's Pretext, Hermes Agent + the open-source agent harness ecosystem, and the broader open-source AI community

Full release notes in CHANGELOG.md.

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